Tool condition monitoring system: A review

N Ambhore, D Kamble, S Chinchanikar… - Materials Today …, 2015 - Elsevier
Increasing demands of process automation for un-manned manufacturing attracted many
researchers in the field of on-line monitoring of machining processes. In view of this …

Internally cooled tools: an eco-friendly approach to wear reduction in AISI 304 stainless steel machining

PHP França, LMQ Barbosa, GHN Fernandes… - Wear, 2024 - Elsevier
Austenitic stainless steel 304 is widely used in various applications due to its mechanical
strength, toughness, and, most importantly, its corrosion resistance. However, machining this …

Artificial intelligence based tool condition monitoring for digital twins and industry 4.0 applications

P Muthuswamy, SK - International Journal on Interactive Design and …, 2023 - Springer
The high demand for machining process automation has placed real-time tool condition
monitoring as one of the top priorities of academic and industrial scholars in the past …

Overview of tool wear monitoring methods based on convolutional neural network

Q Wang, H Wang, L Hou, S Yi - Applied Sciences, 2021 - mdpi.com
Tool wear monitoring is of great significance for the development of manufacturing systems
and intelligent manufacturing. Online tool condition monitoring is a crucial technology for …

A study on major factors influencing dry cutting temperature of AISI 304 stainless steel

HB He, HY Li, J Yang, XY Zhang, QB Yue… - International Journal of …, 2017 - Springer
TiN coated and uncoated tools were used to conduct the dry cutting temperatures for AISI
304 stainless steel. Effects of cutting variables on cutting temperatures were investigated …

An investigation to study the wear characteristics and comparative performance of cutting inserts during hard turning

R Kumar, AK Sahoo, PC Mishra… - International Journal of …, 2018 - inderscienceonline.com
The present work emphasise on comparative hard turning performances and wear
characteristics of coated carbide and ceramic inserts for AISI D2 steel (55±1 HRC). It is …

Prediction of drill bit breakage using an infrared sensor

MJ Jeong, SW Lee, WK Jang, HJ Kim, YH Seo, BH Kim - Sensors, 2021 - mdpi.com
In this paper, a novel drill bit breakage prediction method featuring a low-cost commercial
infrared sensor to monitor drill bit corner wear is proposed. In the proposed method, the drill …

Tool wear prediction in computer numerical control milling operations via machine learning

S Shurrab, A Almshnanah… - 2021 12th international …, 2021 - ieeexplore.ieee.org
Tool life and tool wear contribute significantly to any machining activity and directly affect the
quality of the machined part, machining device performance as well as the production rates …

A numerical model to obtain temperature distribution during hard turning of AISI 52100 steel

PS Bapat, PD Dhikale, SM Shinde, AP Kulkarni… - Materials Today …, 2015 - Elsevier
Temperature is of interest in machining because cutting tools often fail by thermal softening
or temperature-activated type of wear. In this study, a numerical model was developed to …

Investigation of the effects of machining parameters on cutting conditions during orthogonal turning of austenite stainless steel

G Kónya, J Takács, I Miskolczi… - Production Engineering …, 2024 - sciendo.com
The 1.4306 austenite stainless steel has been prominently utilized as a material in the
automotive and aerospace industry. Considerable interest has been garnered in the …